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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

A) Filter the account data per region and deploy the same model to all segments.
B) Segment the account data per region and deploy the appropriate model for each segment.
C) Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

2. CRM Analytics team plans to enable data sync.
Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?

A) Maximum number of data sync jobs cannot exceed the limit
B) Maximum number of objects that can be enabled for data sync
C) Maximum number of Full Sync connection mode enabled

3. An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

A) Write an Apex class with Einstein Discovery Predictions and append them to process.
B) Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.
C) Use the Einstein Discovery flow action to make a prediction with the flow.

4. Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

A) An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
B) An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
C) An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols

5. A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.
How can the developers add new fields while keeping the dataset refreshed?

A) Refresh the dataset after working hours to avoid the edited version from failing.
B) A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.
C) Clone the existing recipe to add fields and roll back the original recipe to the last working version.

Solutions: